Schulz MH - Search Results

1

SPONGEdb: a pan-cancer resource for competing endogenous RNA interactions.

Hoffmann M, Pachl E, Hartung M, Stiegler V, Baumbach J, Schulz MH, List M. Hoffmann M, et al. Among authors: schulz mh. NAR Cancer. 2021 Jan 6;3(1):zcaa042. doi: 10.1093/narcan/zcaa042. eCollection 2021 Mar. NAR Cancer. 2021. PMID: 34316695 Free PMC article.

2

JAMI: fast computation of conditional mutual information for ceRNA network analysis.

Hornakova A, List M, Vreeken J, Schulz MH. Hornakova A, et al. Among authors: schulz mh. Bioinformatics. 2018 Sep 1;34(17):3050-3051. doi: 10.1093/bioinformatics/bty221. Bioinformatics. 2018. PMID: 29659721 Free PMC article.

3

An ontology-based method for assessing batch effect adjustment approaches in heterogeneous datasets.

Schmidt F, List M, Cukuroglu E, Köhler S, Göke J, Schulz MH. Schmidt F, et al. Among authors: schulz mh. Bioinformatics. 2018 Sep 1;34(17):i908-i916. doi: 10.1093/bioinformatics/bty553. Bioinformatics. 2018. PMID: 30423059 Free PMC article.

4

Hepatocellular Carcinoma and Nuclear Paraspeckles: Induction in Chemoresistance and Prediction for Poor Survival.

Kessler SM, Hosseini K, Hussein UK, Kim KM, List M, Schultheiß CS, Schulz MH, Laggai S, Jang KY, Kiemer AK. Kessler SM, et al. Among authors: schulz mh. Cell Physiol Biochem. 2019;52(4):787-801. doi: 10.33594/000000055. Cell Physiol Biochem. 2019. PMID: 30946555 Free article.

5

Large-scale inference of competing endogenous RNA networks with sparse partial correlation.

List M, Dehghani Amirabad A, Kostka D, Schulz MH. List M, et al. Among authors: schulz mh. Bioinformatics. 2019 Jul 15;35(14):i596-i604. doi: 10.1093/bioinformatics/btz314. Bioinformatics. 2019. PMID: 31510670 Free PMC article.

6

The mRNA-binding Protein TTP/ZFP36 in Hepatocarcinogenesis and Hepatocellular Carcinoma.

Kröhler T, Kessler SM, Hosseini K, List M, Barghash A, Patial S, Laggai S, Gemperlein K, Haybaeck J, Müller R, Helms V, Schulz MH, Hoppstädter J, Blackshear PJ, Kiemer AK. Kröhler T, et al. Among authors: schulz mh. Cancers (Basel). 2019 Nov 8;11(11):1754. doi: 10.3390/cancers11111754. Cancers (Basel). 2019. PMID: 31717307 Free PMC article.

7

EpiRegio: analysis and retrieval of regulatory elements linked to genes.

Baumgarten N, Hecker D, Karunanithi S, Schmidt F, List M, Schulz MH. Baumgarten N, et al. Among authors: schulz mh. Nucleic Acids Res. 2020 Jul 2;48(W1):W193-W199. doi: 10.1093/nar/gkaa382. Nucleic Acids Res. 2020. PMID: 32459338 Free PMC article.

8

TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors.

Hoffmann M, Trummer N, Schwartz L, Jankowski J, Lee HK, Willruth LL, Lazareva O, Yuan K, Baumgarten N, Schmidt F, Baumbach J, Schulz MH, Blumenthal DB, Hennighausen L, List M. Hoffmann M, et al. Among authors: schulz mh. Gigascience. 2022 Dec 28;12:giad026. doi: 10.1093/gigascience/giad026. Epub 2023 May 3. Gigascience. 2022. PMID: 37132521 Free PMC article.

9

Computational tools for inferring transcription factor activity.

Hecker D, Lauber M, Behjati Ardakani F, Ashrafiyan S, Manz Q, Kersting J, Hoffmann M, Schulz MH, List M. Hecker D, et al. Among authors: schulz mh. Proteomics. 2023 Dec;23(23-24):e2200462. doi: 10.1002/pmic.202200462. Epub 2023 Sep 14. Proteomics. 2023. PMID: 37706624 Review.

10

Machine learning for deciphering cell heterogeneity and gene regulation.

Scherer M, Schmidt F, Lazareva O, Walter J, Baumbach J, Schulz MH, List M. Scherer M, et al. Among authors: schulz mh. Nat Comput Sci. 2021 Mar;1(3):183-191. doi: 10.1038/s43588-021-00038-7. Epub 2021 Mar 15. Nat Comput Sci. 2021. PMID: 38183187 Review.

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